Flan T5 Xl
The flan-t5-xl model has a wide range of potential use cases for a technical audience. One possible use case is in the field of sentiment analysis, where the model could be used to classify text as positive, negative, or neutral. Another use case could be in text summarization, where the model could generate concise summaries of long documents or articles. The model could also be used for question answering, where it could provide accurate and detailed responses to user queries. Additionally, the model could be utilized for language translation, where it could translate text from one language to another with high accuracy. Overall, the flan-t5-xl model has the potential to be integrated into various products and applications, such as chatbots, content generation tools, and language learning platforms, to enhance their natural language processing capabilities.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
|Llama 2 7b||$?||5,325|
You can use this area to play around with demo applications that incorporate the Flan T5 Xl model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.
Currently, there are no demos available for this model.
Summary of this model and related resources.
|Model Name||Flan T5 Xl|
A language model by Google for tasks like classification, summarization, an...Read more »
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||View on Arxiv|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$0.0046|
|Prediction Hardware||Nvidia A100 (40GB) GPU|
|Average Completion Time||2 seconds|